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cdec cfg 'cdec.ini'
Loading the LM will be faster if you build a binary file.
Reading ../standard/nc-wmt11.en.srilm.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
****************************************************************************************************
Seeding random number sequence to 2662215673
dtrain
Parameters:
k 100
N 4
T 1
batch 0
scorer 'stupid_bleu'
sample from 'kbest'
filter 'uniq'
learning rate 0.0001
gamma 0
loss margin 1
faster perceptron 0
pairs 'XYX'
hi lo 0.1
pair threshold 0
select weights 'last'
l1 reg 0 'none'
pclr no
max pairs 4294967295
repeat 1
cdec cfg 'cdec.ini'
input ''
output 'work/weights.2.0'
(a dot represents 10 inputs)
Iteration #1 of 1.
3
WEIGHTS
Glue = -0.1259
WordPenalty = +0.048294
LanguageModel = +0.36254
LanguageModel_OOV = -0.1228
PhraseModel_0 = +0.26357
PhraseModel_1 = +0.24793
PhraseModel_2 = +0.0063763
PhraseModel_3 = -0.18966
PhraseModel_4 = -0.226
PhraseModel_5 = +0
PhraseModel_6 = +0.0743
PassThrough = -0.1335
---
1best avg score: 0.072836 (+0.072836)
1best avg model score: -0.56296 (-0.56296)
avg # pairs: 1094.7
avg # rank err: 658
avg # margin viol: 436.67
k-best loss imp: 100%
non0 feature count: 11
avg list sz: 100
avg f count: 10.813
(time 0.13 min, 2.7 s/S)
Writing weights file to 'work/weights.2.0' ...
done
---
Best iteration: 1 [SCORE 'stupid_bleu'=0.072836].
This took 0.13333 min.
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